Publicación:
MATERNAL THYROID PROFILE IN FIRST AND SECOND TRIMESTER OF PREGNANCY IS CORRELATED WITH GESTATIONAL DIABETES MELLITUS THROUGH MACHINE LEARNING

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dc.creatorKARIN MARISOL LAGOS SAN MARTÍN
dc.creatorANDRÉS IGNACIO RODRÍGUEZ MORALES
dc.date2021
dc.date.accessioned2025-01-10T15:25:57Z
dc.date.available2025-01-10T15:25:57Z
dc.date.issued2021
dc.description.abstractTHERE IS EVIDENCE ABOUT A POSSIBLE RELATIONSHIP BETWEEN THYROID ABNORMALITIES AND GESTATIONAL DIABETES MELLITUS (GDM). HOWEVER, THERE IS STILL NO CONCLUSIVE DATA ON THIS DEPENDENCE, SINCE NO STRONG CORRELATION HAS BEEN PROVED. IN THIS WORK, WE USED MACHINE LEARNING TO DETERMINE WHETHER THERE IS A CORRELATION BETWEEN MATERNAL THYROID PROFILE IN FIRST AND SECOND TRIMESTER OF PREGNANCY AND GDM. USING PRINCIPAL COMPONENT ANALYSIS, IT WAS POSSIBLE TO FIND AN EVIDENT CORRELATION BETWEEN BOTH, WHICH COULD BE USED AS A COMPLEMENT FOR A MORE SENSITIVE GDM DIAGNOSIS.
dc.formatapplication/pdf
dc.identifier.doi10.1016/j.placenta.2020.10.015
dc.identifier.issn1532-3102
dc.identifier.issn0143-4004
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11987
dc.languagespa
dc.publisherPLACENTA
dc.relation.uri10.1016/j.placenta.2020.10.015
dc.rightsPUBLICADA
dc.titleMATERNAL THYROID PROFILE IN FIRST AND SECOND TRIMESTER OF PREGNANCY IS CORRELATED WITH GESTATIONAL DIABETES MELLITUS THROUGH MACHINE LEARNING
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE CIENCIAS BASICAS
ubb.Otra ReparticionDEPARTAMENTO DE CIENCIAS BASICAS
ubb.SedeCHILLÁN
ubb.SedeCHILLÁN
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